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10.1186/s12879-020-05740-x http://scihub22266oqcxt.onion/10.1186/s12879-020-05740-x 33478425!7819631!33478425     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 243.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 243.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       BMC+Infect+Dis 2021 ; 21 (1): 98 Nephropedia Template TP {{tp|p=33478425|t=2021. Using Baidu search values to monitor and predict the confirmed cases of COVID-19 in China: - evidence from Baidu index |pdf=|usr=}}{{33478425}} gab.com Text Using Baidu search values to monitor and predict the confirmed cases of COVID-19 in China: - evidence from Baidu index JO: BMC Infect Dis http://www.kidney.de/pget.php?&tw=1&pmid=33478425 #FOAvip BACKGROUND: New coronavirus disease 2019 (COVID-19) has posed a severe threat to human life and caused a global pandemic. The current research aimed to explore whether the search-engine query patterns could serve as a potential tool for monitoring the outbreak of COVID-19. METHODS: We collected the number of COVID-19 confirmed cases between January 11, 2020, and April 22, 2020, from the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University (JHU). The search index values of the most common symptoms of COVID-19 (e.g., fever, cough, fatigue) were retrieved from the Baidu Index. Spearman's correlation analysis was used to analyze the association between the Baidu index values for each COVID-19-related symptom and the number of confirmed cases. Regional distributions among 34 provinces/ regions in China were also analyzed. RESULTS: Daily growth of confirmed cases and Baidu index values for each COVID-19-related symptom presented robust positive correlations during the outbreak (fever: r(s)=0.705, p=9.623x 10(- 6); cough: r(s)=0.592, p=4.485x 10(- 4); fatigue: r(s)=0.629, p=1.494x 10(- 4); sputum production: r(s)=0.648, p=8.206x 10(- 5); shortness of breath: r(s)=0.656, p=6.182x 10(-5)). The average search-to-confirmed interval (STCI) was 19.8 days in China. The daily Baidu Index value's optimal time lags were the 4 days for cough, 2 days for fatigue, 3 days for sputum production, 1 day for shortness of breath, and 0 days for fever. CONCLUSION: The searches of COVID-19-related symptoms on the Baidu search engine were significantly correlated to the number of confirmed cases. Since the Baidu search engine could reflect the public's attention to the pandemic and the regional epidemics of viruses, relevant departments need to pay more attention to areas with high searches of COVID-19-related symptoms and take precautionary measures to prevent these potentially infected persons from further spreading. Twit Text FOAVip Using Baidu search values to monitor and predict the confirmed cases of COVID-19 in China: - evidence from Baidu index ????BMC Infect Dis http://www.kidney.de/pget.php?&tw=1&pmid=33478425 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33478425 #FOAvip English Wikipedia <ref>{{Cite pmid|33478425}}</ref> Using Baidu search values to monitor and predict the confirmed cases of COVID-19 in China: - evidence from Baidu index #MMPMID33478425 Tu B; Wei L; Jia Y; Qian J BMC Infect Dis 2021[Jan]; 21 (1): 98 PMID33478425show ga BACKGROUND: New coronavirus disease 2019 (COVID-19) has posed a severe threat to human life and caused a global pandemic. The current research aimed to explore whether the search-engine query patterns could serve as a potential tool for monitoring the outbreak of COVID-19. METHODS: We collected the number of COVID-19 confirmed cases between January 11, 2020, and April 22, 2020, from the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University (JHU). The search index values of the most common symptoms of COVID-19 (e.g., fever, cough, fatigue) were retrieved from the Baidu Index. Spearman's correlation analysis was used to analyze the association between the Baidu index values for each COVID-19-related symptom and the number of confirmed cases. Regional distributions among 34 provinces/ regions in China were also analyzed. RESULTS: Daily growth of confirmed cases and Baidu index values for each COVID-19-related symptom presented robust positive correlations during the outbreak (fever: r(s)=0.705, p=9.623x 10(- 6); cough: r(s)=0.592, p=4.485x 10(- 4); fatigue: r(s)=0.629, p=1.494x 10(- 4); sputum production: r(s)=0.648, p=8.206x 10(- 5); shortness of breath: r(s)=0.656, p=6.182x 10(-5)). The average search-to-confirmed interval (STCI) was 19.8 days in China. The daily Baidu Index value's optimal time lags were the 4 days for cough, 2 days for fatigue, 3 days for sputum production, 1 day for shortness of breath, and 0 days for fever. CONCLUSION: The searches of COVID-19-related symptoms on the Baidu search engine were significantly correlated to the number of confirmed cases. Since the Baidu search engine could reflect the public's attention to the pandemic and the regional epidemics of viruses, relevant departments need to pay more attention to areas with high searches of COVID-19-related symptoms and take precautionary measures to prevent these potentially infected persons from further spreading. |*Epidemiological Monitoring[MESH] |COVID-19/*epidemiology/prevention & control[MESH] |China/epidemiology[MESH] |Cough[MESH] |Disease Outbreaks/*statistics & numerical data[MESH] |Dyspnea[MESH] |Fatigue[MESH] |Fever[MESH] |Humans[MESH] |Pandemics[MESH]Using Baidu search values to monitor and predict the confirmed cases o(epmc).pdf DeepDyve Pubget Overpricing